Biology subjects

Nishimura, K.

Publications and source records attributed to Nishimura, K..

At least 19 recordsLinked to original sources

bioRxiv2026

NECTIN4 defines a subtype-dependent tumor state coupling enfortumab vedotin targetability to antitumor immunity in bladder cancer

NECTIN4 is the target of enfortumab vedotin (EV), but its biological role in bladder cancer (BC) and its relationship to EV plus PD-1 blockade remain unclear. Integrating clinical multi-omics, spatial and single-cell immune profiling, and experimental models, we identify NECTIN4 as a subtype-dependent determinant of tumor state and antitumor immunity. In basal BC cells, NECTIN4 suppressed inflammatory and mesenchymal programs. Consistently, NECTIN4-high basal/squamous muscle-invasive BCs showed favorable survival, higher checkpoint inhibitor response rates, and a coordinated CD8+ T cell-inflamed microenvironment with no comparable associations in luminal papillary tumors. In orthotopic models, murine Nectin4 promoted CD8+ T cell-dependent tumor control, whereas human NECTIN4 conferred EV sensitivity. EV also attenuated NECTIN4-dependent TIGIT binding. Conversely, NECTIN4-low models were preferentially sensitive to HDAC inhibition. NECTIN4 therefore couples antibody-drug conjugate targetability to a subtype-specific tumor-immune state permissive for checkpoint blockade, whereas the NECTIN4-low state defines a distinct inflammatory-mesenchymal state with an alternative therapeutic vulnerability.

cancer biology↗

bioRxiv2026

Disruption of Histone H4C genes impairs skeletal development and cortical neurogenesis, modeling rare neurodevelopmental syndromes

Histone proteins, which reside in the nuclei of eukaryotic cells, are involved in diverse cellular processes. The core histone H4 serves as a structural component of the nucleosome. Patients carrying mutations in H4Clustered histone (H4C) genes exhibit a broad spectrum of developmental abnormalities, including short stature, microcephaly, intellectual disability, growth retardation, and digital anomalies. However, the impact of H4 mutations on mammalian embryogenesis remains largely unclear. Here, we demonstrate that histone H4C genes play crucial roles in skeletal development and cortical neurogenesis. We found that mRNAs of the histone H4C gene family are specifically expressed in proliferating progenitor cells in the developing mouse neocortex and in human induced pluripotent stem cell-derived cortical organoids. CRISPR-mediated disruption of H4C3 in mice caused severe defects in skeletal formation and neocortical neurogenesis. Furthermore, overexpression of a mutant form of H4C3 resulted in altered expression of genes associated with cellular migration and motility. Together, these findings suggest that histone H4 plays a critical role in regulating the balance between proliferation and differentiation during mammalian embryonic development, thereby explaining the broad spectrum of patient phenotypes.

developmental biology↗

bioRxiv2026

A positional and combinatorial regulatory code for alternative splicing

Alternative pre-mRNA splicing generates extensive transcript diversity, yet the regulatory code that determines how splicing decisions are encoded across the transcriptome remains poorly defined. Splicing outcomes are controlled by combinatorial RNA-binding protein (RBP) interactions and positional context, but how these features are integrated at the transcriptome scale remains unclear. CLIP-based approaches have mapped RBP binding, but directly comparable endogenous maps across multiple RBPs are lacking, limiting inference of global regulatory principles. Here we introduce SCALE-CLIP, an endogenous CLIP framework that integrates CRISPR-Cas9-mediated epitope tagging with long-read-guided read attribution to generate directly comparable RBP binding maps across splicing-regulatory factors. Applied to 23 RBPs, SCALE-CLIP expanded endogenous RBP coverage and, across benchmarked shared factors, increased peak recovery by a median of 12.2-fold relative to ENCODE eCLIP while preserving specificity and reproducibility. We define a transcriptome-wide positional and combinatorial code for alternative splicing, in which binding position is a primary determinant of regulatory outcome: SRSF binding within alternative exons promotes inclusion, whereas binding on flanking exons drives exon skipping. Higher-order SRSF occupancy further tunes this code, buffering exon inclusion when centered on alternative exons but reinforcing repression when distributed across flanking exons. We also show that m6A provides an epitranscriptomic layer that locally enhances SRSF binding and is associated with increased exon inclusion. Together, these results establish a multi-layered RNA-binding logic in which binding position, combinatorial RBP architecture and RNA modification jointly shape splicing outcomes, providing a framework for rational interpretation and modulation of alternative splicing.

molecular biology↗

bioRxiv2026

Modeling interregional propagation of α-synuclein in human striatal-midbrain assembloids

Parkinsons disease is characterized by the progressive degeneration of dopaminergic (DA) neurons in the substantia nigra that project to the striatum. Postmortem studies have found that -synuclein pathology spreads across brain regions in a prion-like manner. Human three-dimensional neural tissues provide experimentally tractable platforms for clarifying the molecular pathology of synucleinopathy that overcome the limitations of postmortem brain studies. In this study, we established a human striatal-midbrain assembloid model enabling spatially and temporally controlled -synuclein induction after formation of the nigrostriatal pathway within hStrMAs. Human induced pluripotent stem cells (hiPSCs) were differentiated into striatal spheroids and midbrain spheroids, which were fused to reconstruct the nigrostriatal pathway in vitro. Histological, electrophysiological, and single-cell RNA sequencing analyses confirmed the generation of region-specific neuronal populations, including striatal GABAergic neurons and midbrain DA neurons, and demonstrated that distinct forebrain and ventral midbrain identities were preserved within assembloids. To model synucleinopathy, we generated a doxycycline-inducible -synuclein hiPSC line, permitting selective induction of -synuclein expression in the striatal region after assembloid formation. Spatially restricted -synuclein induction resulted in the progressive accumulation of phosphorylated and fibrillar -synuclein in midbrain DA neurons, indicating interregional propagation through established neural circuits. Transcriptomic analysis of the midbrain region revealed significant downregulation of DA identity and synaptic function genes, suggesting functional impairment of DA neurons following -synuclein propagation. These findings demonstrate that the human neural circuit architecture contributes to the interregional propagation of -synuclein pathology. Our controllable human assembloid platform provides a powerful experimental framework for dissecting the mechanisms of pathological protein spread and developing therapeutic strategies targeting molecular pathology in neurodegenerative diseases. Significance statementOne pathological feature of Parkinsons disease is the progressive spread of -synuclein pathology across brain regions. However, the molecular mechanisms underlying this process remain poorly understood. In this study, we established a human striatal-midbrain assembloid model in which -synuclein expression can be spatially restricted and temporally induced after the nigrostriatal pathway is formed, thus enabling the experimental dissection of interregional -synuclein propagation across brain regions. We demonstrated that -synuclein pathology initiated in the striatal region propagated to midbrain dopaminergic neurons, leading to disease-relevant molecular and transcriptional alterations. These findings provide direct evidence that human neural circuits contribute to the spread of synucleinopathy and offer a controllable human model for studying disease progression and therapeutic strategies.

neuroscience↗

bioRxiv2026

Probabilistic coupling of cellular and microenvironmental heterogeneity by masked self-supervised learning

AO_SCPLOWBSTRACTC_SCPLOWSpatial omics technologies have advanced to single-cell resolution, enabling systematic analysis of tissue microenvironments alongside cellular-state heterogeneity. However, computationally defining microenvironmental states at single-cell resolution and identifying representations most informative for biological discovery remain major challenges. Here we present Mievformer, a Transformer-based masked self-supervised framework that learns microenvironmental embeddings by encoding neighboring cellular states and relative spatial configurations to parameterize the conditional distribution of continuous cell states at central spatial positions. Through InfoNCE optimization, Mievformer learns representations that capture the relative enrichment of cell states across microenvironments, formalized as a conditional density ratio, thereby enabling probabilistic inference of the coupling between microenvironmental and cellular heterogeneity. Mievformer outperformed existing methods in niche clustering on simulated spatial transcriptomics data and achieved the highest average performance across five real datasets spanning three spatial transcriptomics platforms when evaluated using DREC, a ground-truth-free metric that most strongly correlated with ground-truth performance in simulations. Beyond conventional clustering, Mievformer enables identification of cellular subpopulations based on their microenvironmental distribution and detection of gene-expression signatures associated with colocalization of specific cell populations. Together, these results establish Mievformer as a quantitatively robust and biologically informative framework for learning microenvironment representations in spatial omics.

bioinformatics↗

bioRxiv2025

Infraslow histaminergic dynamics govern priming states to gate moment-to-moment memory accessibility

Memory expression fluctuates even in response to identical cues, suggesting that ongoing brain states bias memory accessibility. However, the cellular and circuit principles governing these state-dependent fluctuations remain unclear. Here, we show that spontaneous pre-cue activity of histaminergic neurons in the hypothalamic tuberomammillary nucleus (TMN) modulates the expression of reward-associative memory in mice. TMN histaminergic activity exhibited infraslow dynamics (0.05-0.1 Hz) that closely tracked an integrated brain-body state. Closed-loop cue delivery during high histaminergic states enhanced memory expression. Brief optogenetic activation or inhibition of these neurons before the cue bidirectionally modulated memory expression, and direct activation of histaminergic terminals in the basolateral amygdala (BLA) was sufficient to enhance memory expression. Furthermore, histaminergic inhibition before the cue impaired the cue-evoked BLA population response. Thus, ongoing histaminergic activity exerts an infraslow, state-setting influence that primes BLA circuits for robust cue responses, and in turn, modulates moment-to-moment memory accessibility.

neuroscience↗

bioRxiv2025

SONIC: A Benchmarking Paradigm for Brain-Computer Interfaces

Brain-computer interfaces (BCIs) can restore function for individuals with neuro-logical disorders and have the potential to transform the way people interact with digital systems. However, the development of advanced BCI applications, such as fluent speech synthesis, is dependent on the underlying information transfer capacity of the physical neural interface employed. A significant barrier to progress has been the lack of standardized, application-agnostic methods for benchmarking BCI system performance prior to clinical trials. Here, we introduce SONIC, a novel preclinical benchmarking paradigm designed to evaluate the information transfer rate (ITR) of a BCI system. This paradigm treats the brain and BCI as a noisy communication channel, where information is sent into the brain via precisely controlled sensory stimuli and read out by the neural interface. We implemented this paradigm in an ovine model by presenting rapid sequences of pure tones while recording neural activity from the primary auditory cortex with the Paradromics Connexus(C) BCI, a fully implanted system utilizing high-density intracortical micro-electrode arrays with wireless power and data transmission. A convolutional neural network was used to decode tones based on neural features. Our results demonstrate an achieved ITR of over 200 bits per second (bps), which is the highest reported BCI ITR to date. For reference, this rate exceeds the linguistic information content of human speech. This ITR is achieved with a total neural interface, filtering, and data aggregation delay of 56 milliseconds. Further analysis demonstrated that ITR remains high (> 100 bps) for the lowest total delay tested (11 ms), supporting the needs of latency-sensitive applications (e.g., direct speech synthesis). This work establishes a new benchmark for BCI performance and demonstrates that the Connexus BCI possesses the bandwidth necessary to support highly advanced applications. This benchmark provides a robust framework for preclinical BCI evaluation, enabling principled system design optimization to accelerate the translation of next-generation neurotechnology.

bioengineering↗

bioRxiv2025

DECREASE IN DNA METHYLATION 1-mediated epigenetic regulation maintains gene expression balance required for heterosis in Arabidopsis thaliana

Heterosis, or hybrid vigor, is characterized by superior phenotypic performance in F hybrids compared to their parental lines, and its expression is influenced by both genetic and epigenetic factors. In this study, we investigated the role of epigenetic regulation, particularly DNA methylation mediated by DECREASE IN DNA METHYLATION 1 (DDM1), in early seedling biomass heterosis using hybrids between Arabidopsis thaliana accessions Columbia-0 and C24. Loss of DDM1 function in F hybrids resulted in a significant reduction of rosette diameter, confirming that DDM1 is essential for heterosis. Transcriptomic and epigenomic analyses revealed extensive genotype-specific changes in gene expression and DNA methylation patterns in ddm1 mutants. Notably, ddm1-F hybrids exhibited upregulation of genes categorized into xyloglucan:xyloglucosyl transferase activity and downregulation of genes categorized into circadian rhythm, which may contribute to reduced growth vigor. Whole-genome bisulfite sequencing showed widespread hypomethylation in ddm1 mutants, yet the overlap between differentially methylated and expressed genes was limited, suggesting indirect or context-dependent regulatory effects. Additionally, we examined the role of salicylic acid (SA) in heterosis using SA-deficient mutants and found that variations in endogenous SA levels did not correlate with biomass heterosis under normal conditions. Our findings suggest that heterosis in A. thaliana is dependent on the maintenance of parental epigenetic divergence, particularly in DNA methylation patterns mediated by DDM1. Disruption of DDM1 compromises this epigenetic complementarity, leading to transcriptomic imbalances that reduce heterosis. HighlightLoss of DDM1 reduces biomass heterosis in Arabidopsis thaliana hybrids by disrupting DNA methylation and transcriptome stability, revealing a novel salicylic acid-independent epigenetic mechanism.

plant biology↗

bioRxiv2025

Macromolecular Crowding-Affected Mobility of Bcnt/Cfdp1, a Disordered Component of the Srcap Complex, from the Nucleus to Cytosol in Subcellular Fractionation

Metazoan Bucentaur/Craniofacial Development Protein 1 (Bcnt/Cfdp1) is crucial for embryonic development, and its yeast homolog protein, SWC5, functions as part of the SWR1 complex in histone exchange reactions. Bcnt/Cfdp1, an intrinsically disordered protein (IDP) subject to various post-translational modifications, contains a putative nuclear localization sequence. Nevertheless, its subcellular localization remains ambiguous. We investigated its intracellular trafficking using diverse approaches. In C2C12 myoblasts, fluorescent protein-tagged Bcnt/Cfdp1 was predominantly localized within the nucleus, preferentially in regions of low DAPI density in myoblasts, and the localization persisted in differentiated multinucleated myotubes. Conversely, detergent-based biochemical fractionation of C2C12 and HEK293T cells indicated a substantial presence of Bcnt/Cfdp1 in cytoplasmic fractions. Quantitative proteomic analysis of fractionated proteins revealed that six IDPs, including a PEST-containing nuclear protein, demonstrated similar distribution patterns to Bcnt/Cfdp1; despite being annotated as nuclear proteins, they were detected in cytoplasmic fractions. Direct treatment of both cell lines with digitonin enabled the collection of released proteins in three steps to accurately isolate cytoplasmic proteins. Bcnt/Cfdp1 exhibited distinct extraction patterns compared to cytoplasmic soluble protein extracts in Ficoll/sucrose solution, while no differences were noted when cells underwent digitonin treatment in an isotonic solution. Quantitative proteomic analysis of these extracts highlighted the mobility or integrity of each protein within the cytoplasm. Consequently, although Bcnt/Cfdp1 is essential within the nucleus, our findings suggest its additional presence in the cytoplasm. We hypothesize that the elastic properties of Bcnt/Cfdp1 facilitate its translocation from the nucleus during subcellular fractionation, which is affected by macromolecular crowding.

biochemistry↗

bioRxiv2025

Inducible degradation of endogenous proteins by AlissAID system and development of a photoactivatable inducer.

Protein analysis strategies involving targeted protein degradation are powerful approaches to determine gene functions. Auxin-inducible degron (AID) is among the most widely used methods for target protein knockdown. This system enables the rapid depletion of AID-tagged target proteins in an auxin-dependent manner. Various improved AID methods have been developed to date; however, the requirement to tag the target protein remains a common challenge. Here, we demonstrated the efficiency of the affinity-linker-based super-sensitive AID system for condition-knockdown of target proteins in cultured animal cells and mouse embryos. This system combines the improved AID method with small-molecule antibodies, enabling the control of GFP and mCherry fusion proteins. Additionally, this system can be used to degrade endogenous targets, such as Ras proteins. We also developed a novel inducer, caged 5-adamantyl-IAA, that precisely controlled targeted protein degradation under light irradiation. This advanced technique aids in the degradation of endogenous proteins of interest and can be used to develop new technologies for localized protein degradation.

cell biology↗

bioRxiv2024

PISA: versatile microscope for 3D single molecule light sheet imaging

Light sheet microscopy combines high sensitivity and imaging speeds with low photodamage, however a remaining hurdle to its widespread adoption is its requirement for special sample preparation. Our new microscope - planar illumination microscope for single molecule imaging for all purpose (PISA) - significantly relieves these restrictions to enable light sheet imaging of coverslip-mounted samples as commonly analyzed in biological microscopes. We show how this technology now permits high-throughput imaging using multi-well plates. Further, the ability of 3D single molecule imaging in microlitre or mm3 scale volumes over the coverslip improves the sensitivity of biochemical gel-based fluorometric assays to atto/zepto molar levels. PISA will facilitate widespread adoption of light sheet imaging for a variety of biological, biochemical and medical investigations.

biophysics↗

bioRxiv2024

Chromosome-level genome assemblies for two quinoa inbred lines from northern and southern highlands of Altiplano where quinoa originated

Quinoa, an annual allotetraploid plant native to the Andean highlands of South America, is emerging as an important seed crop for global food and nutrition security due to its ability to grow in marginal environments and its excellent nutritional properties. Because quinoa is partially allogamous, we have developed quinoa inbred lines necessary for molecular genetic analysis. Our comprehensive genomic analysis showed that the quinoa inbred lines fall into three genetic subpopulations: northern highland, southern highland, and lowland. Lowland and highland quinoa are the same species, but have very different genotypes and phenotypes. Lowland quinoa has relatively small grains and a darker grain color, and is widely tested and grown around the world. In contrast, the white, large-grained highland quinoa is grown in the Andean highlands, including the region where quinoa originated, and is exported worldwide as high-quality quinoa. Recently, we have shown that viral vectors can be used to regulate endogenous genes in quinoa, paving the way for functional genomics of quinoa. However, although a high-quality assembly has recently been reported for a lowland quinoa line, genomic resources of the quality required for functional genomics are not available for highland quinoa lines. Here we present high-quality chromosome-level genome assemblies for two highland inbred quinoa lines, J075 representing the northern highland line and J100 representing the southern highland line, using PacBio HiFi sequencing and dpMIG-seq. The assembled genome sizes of J075 and J100 are 1.29 and 1.32 Gb, with contigs N50 of 66.3 and 12.6 Mb, and scaffold N50 of 71.2 and 70.6 Mb, respectively, comprising 18 pseudochromosomes. The repetitive sequences of J075 and J100 represent 72.6% and 71.5% of the genome, the majority of which are long terminal repeats (Gypsy and Copia), representing 44.0% and 42.7% of the genome, respectively. The de novo assembled genomes of J075 and J100 were predicted to contain 64,945 and 65,303 protein-coding genes, respectively. The high quality genomes of these highland quinoa lines will facilitate quinoa functional genomics research on quinoa and contribute to the identification of key genes involved in environmental adaptation and quinoa domestication.

plant biology↗

bioRxiv2023

Hyperactivation of MEK1 in cortical glutamatergic neurons results in projection axon deficits and aberrant motor learning

Abnormal Extracellular Regulated Kinase 1/2 (ERK1/2) signaling is linked to multiple neurodevelopmental diseases, especially the RASopathies, which typically exhibit ERK1/2 hyperactivation in neurons and non-neuronal cells. To better understand how excitatory neuron-autonomous ERK1/2 activity regulates the development of the mouse motor cortex, we conditionally expressed a hyperactive MEK1S217/221E variant using Nex/NeuroD6:Cre. Our results show that MEK1S217/221E expression led to persistent hyperactivation of ERK1/2 in neocortical axons, but not excitatory neuron somas or nuclei. We noted reduced axonal arborization of multiple subcortical target domains in mutants and reduced cortical expression of the activity dependent gene, ARC. These changes did not coincide with significant differences in voluntary locomotor activity or motor performance in the accelerating rotarod task. However, motor learning in a single-pellet retrieval task was significantly diminished in Nex/NeuroD6:Cre; MEK1S217/221E mutants. Restriction of MEK1S217/221E expression to layer V cortical neurons recapitulated axonal outgrowth deficits, however, had no effect on motor learning. Collectively, these results indicate that within the cortex, glutamatergic neuron-autonomous hyperactivation of MEK1 is sufficient to drive deficits in axon outgrowth, activity dependent gene expression, and skilled motor learning. Summary statementMEK-ERK1/2 hyperactivation in developing cortical excitatory neurons is sufficient to decrease long-range axonal outgrowth, which coincides with reduced Arc expression and deficits in aspects of skilled motor learning by adulthood.

neuroscience↗

bioRxiv2023

Cytosolic heme metabolism by alternative localization of heme oxygenase 1 in plant cells

Heme, an organometallic molecule, is widely engaged in oxygen transport, electron delivery, enzymatic reactions, and signal transduction. Additionally, heme serves as a precursor to phytochromobilin, the chromophore of plant phytochrome. Heme oxygenase (HO) initiates the first committed step in heme metabolism. Our transcription start site-sequencing (TSS-seq) revealed that HO1 in Arabidopsis thaliana and Oryza sativa (rice) has two TSSs, producing long (HO1L) and short (HO1S) transcripts, with or without an intact N-terminal plastid transit peptide. HO1L and HO1S products localize in plastids and the cytosol, respectively. In Arabidopsis, HO1L is prevalent in light-exposed shoots, while HO1S is clearly detected in roots and etiolated seedlings. During de-etiolation and early development, HO1L ratio gradually rises and HO1S ratio decreases. Light perception via phytochrome and cryptochrome elevates HO1L ratio and reduce HO1S ratio through the functioning of HY5 and HYH transcription factors, and the suppression of DET1, E3 ubiquitin ligase COP1, and PIFs transcription factors. As expected, HO1L product was able to complement the HO1-deficient mutant gun2 (hy1), but surprisingly, HO1S expression could also restore the short hypocotyl phenotype and high pigment content, and make the mutant recover from the gun phenotype. This indicates the formation of functional holo-phytochrome within these lines. Our work highlights the presence of a cytosolic pathway for heme metabolism, especially during etiolation and early development. Furthermore, it supports the hypothesis that a mobile heme signal is involved in the mediation of retrograde signaling from the chloroplast. Significance StatementIn this research, through both TSS-seq and CAGE-seq, we discovered that the HO1 (GUN2 or HY1) gene in both Arabidopsis and rice has two TSSs, generating HO1L and HO1S transcripts. We reveal that the HO1 TSS regulation pathway is the same as the light signaling pathway. Significantly, our study identifies that a cytosolic heme metabolism pathway is existent in plant cells.

plant biology↗

bioRxiv2022

Molecular engineering of emicizumab to improve hemophilia A treatment

Emicizumab, a factor (F)VIIIa-function mimetic bispecific antibody (BsAb) to FIXa and FX, has become an indispensable treatment for people with hemophilia A (PwHA). Although emicizumab is very potent, long-term outcomes from the clinical studies suggest that a small proportion of PwHA still experiences bleeds. Additionally, non-clinical studies indicate that the maximum cofactor activity of emicizumab is lower than international standard activity (100 IU/dL of FVIII). An increased cofactor activity BsAb would benefit such patients. Here, we report NXT007, a BsAb binding FIXa and FX developed through further engineering of emicizumab. Emicizumab has a common light chain, but through advances in antibody engineering, we were able to create a more potent BsAb with two new non-common light chains. After extensive optimization of the heavy and light chains, the resulting BsAb, NXT007, exerted in vitro thrombin generation (TG) activity in hemophilia A plasma equivalent to 100 IU/dL of FVIII when triggered by tissue factor. NXT007 demonstrated potent hemostatic activity in an acquired hemophilia A model in non-human primates at a much lower dosage than emicizumab, consistent with an around 30-fold dose shift in the in vitro TG activity between NXT007 and emicizumab. Moreover, together with Fc engineering that enhanced FcRn binding and reduced in vivo clearance, we demonstrate that NXT007 could be effective at a much lower dosage with a longer dosing interval compared to emicizumab. These non-clinical results suggest that NXT007 could maintain a non-hemophilic range of coagulation potential in PwHA and provides a rationale for its clinical testing.

bioengineering↗

bioRxiv2022

Development of AlissAID system targeting GFP or mCherry fusion protein.

Conditional control of target proteins using the auxin-inducible degron (AID) system provides a powerful tool for investigating protein function in eukaryotes. Here, we established an Affinity-linker based super-sensitive auxin-inducible degron (AlissAID) system in budding yeast by using a single domain antibody (a nanobody). In this system, target proteins fused with GFP or mCherry were degraded depending on a synthetic auxin, 5-Adamantyl-IAA (5-Ad-IAA). In AlissAID system, nanomolar concentration of 5-Ad-IAA induces target degradation, thus minimizing the side effects from chemical compounds. In addition, in AlissAID system, we observed few basal degradations which was observed in other AID systems including ssAID system. Furthermore, AlissAID based conditional knockdown cell lines are easily generated by using budding yeast GFP Clone Collection. From these advantages, the AlissAID system would be an ideal protein-knockdown system in budding yeast cells.

molecular biology↗

bioRxiv2022

Exome-wide benchmark of difficult-to-sequence regions using short-read next-generation DNA sequencing

Next-generation DNA sequencing (NGS) in short-read mode has been recently used for genetic testing in various clinical settings. NGS data accuracy is crucial in clinical settings, and several reports regarding quality control of NGS data, focusing mostly on establishing NGS sequence read accuracy, have been published thus far. Variant calling is another critical source of NGS errors that remains mostly unexplored despite its established significance. In this study, we used a machine-learning-based method to establish an exome-wide benchmark of difficult-to-sequence regions using 10 genome sequence features on the basis of real-world NGS data accumulated in The Genome Aggregation Database (gnomAD) of the human reference genome sequence (GRCh38/hg38). We used the obtained metrics, designated "UNMET score," along with other lines of structural information of the human genome to identify difficult-to-sequence genomic regions using conventional NGS. Thus, the UNMET score could provide appropriate caveats to address potential sequential errors in protein-coding exons of the human reference genome sequence GRCh38/hg38 in clinical sequencing.

genomics↗

bioRxiv2022

Single cell transcriptomics reveals correct developmental dynamics and high-quality midbrain cell types by improved hESC differentiation.

Stem cell technologies provide new opportunities for modeling cells in the healthy and diseased states and for regenerative medicine. In both cases developmental knowledge as well as the quality and molecular properties of the cells are essential for their future application. In this study we identify developmental factors important for the differentiation of human embryonic stem cells (hESCs) into midbrain dopaminergic (mDA) neurons. We found that Laminin-511, and dual canonical and non-canonical WNT activation followed by GSK3{beta} inhibition plus FGF8b, improved midbrain patterning. In addition, mDA neurogenesis and differentiation was enhanced by activation of liver X receptors and inhibition of fibroblast growth factor signaling. Moreover, single-cell RNA-sequencing analysis revealed a developmental dynamics similar to that of the endogenous human ventral midbrain and the emergence of high quality molecularly-defined midbrain cell types, including mDA neurons that become functional. Thus, our study identifies novel factors important for human midbrain development and opens the door for a future application of molecularly-defined hESC-derived midbrain cell types in Parkinsons disease.

neuroscience↗